Predicting Drug-Target Interactions for New Drug Compounds Using a Weighted Nearest Neighbor Profile
about
A multi-label approach to target prediction taking ligand promiscuity into accountTowards structural systems pharmacology to study complex diseases and personalized medicineLigand-target prediction by structural network biology using nAnnoLyzeNeighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction PredictionA Multilayer Network Approach for Guiding Drug Repositioning in Neglected DiseasesLarge-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug RepurposingImproved genome-scale multi-target virtual screening via a novel collaborative filtering approach to cold-start problem.DrugE-Rank: improving drug-target interaction prediction of new candidate drugs or targets by ensemble learning to rankProviding data science support for systems pharmacology and its implications to drug discoveryImproved prediction of drug-target interactions using regularized least squares integrating with kernel fusion technique.A comparative study of SMILES-based compound similarity functions for drug-target interaction predictionAn eigenvalue transformation technique for predicting drug-target interaction.Predicting existing targets for new drugs base on strategies for missing interactions.Comprehensive prediction of drug-protein interactions and side effects for the human proteome.Improving compound-protein interaction prediction by building up highly credible negative samples.Repurposing FDA-approved drugs for anti-aging therapies.Drug-target interaction prediction via chemogenomic space: learning-based methods.Identification of drug candidates and repurposing opportunities through compound-target interaction networks.Screening drug-target interactions with positive-unlabeled learningComputational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors.An Ameliorated Prediction of Drug-Target Interactions Based on Multi-Scale Discrete Wavelet Transform and Network Features.A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information.Large-scale cross-species chemogenomic platform proposes a new drug discovery strategy of veterinary drug from herbal medicines.VB-MK-LMF: fusion of drugs, targets and interactions using variational Bayesian multiple kernel logistic matrix factorization.
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P2860
Predicting Drug-Target Interactions for New Drug Compounds Using a Weighted Nearest Neighbor Profile
description
2013 nî lūn-bûn
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2013 թուականին հրատարակուած գիտական յօդուած
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2013 թվականին հրատարակված գիտական հոդված
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2013年の論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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2013年论文
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name
Predicting Drug-Target Interac ...... ghted Nearest Neighbor Profile
@ast
Predicting Drug-Target Interac ...... ghted Nearest Neighbor Profile
@en
Predicting Drug-Target Interac ...... ghted Nearest Neighbor Profile
@nl
type
label
Predicting Drug-Target Interac ...... ghted Nearest Neighbor Profile
@ast
Predicting Drug-Target Interac ...... ghted Nearest Neighbor Profile
@en
Predicting Drug-Target Interac ...... ghted Nearest Neighbor Profile
@nl
prefLabel
Predicting Drug-Target Interac ...... ghted Nearest Neighbor Profile
@ast
Predicting Drug-Target Interac ...... ghted Nearest Neighbor Profile
@en
Predicting Drug-Target Interac ...... ghted Nearest Neighbor Profile
@nl
P2860
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Predicting Drug-Target Interac ...... ghted Nearest Neighbor Profile
@en
P2093
Elena Marchiori
Twan van Laarhoven
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P304
P3181
P356
10.1371/JOURNAL.PONE.0066952
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P577
2013-01-01T00:00:00Z